simonorozcoarias / ML_DL_microArraysLinks
Here, we describe the comparison of the most used algorithms in classical ML and DL to classify carcinogenic tumors described on 11_tumor data base, obtaining accuracies between 76.97% and 100% for tumor identification. Our results bring up a more efficient an accurate classification method based on gene expression (microarray data) and ML/DL al…
☆12Updated 5 years ago
Alternatives and similar repositories for ML_DL_microArrays
Users that are interested in ML_DL_microArrays are comparing it to the libraries listed below
Sorting:
- DCAP:Integrating multi-omics data with deep learning for predicting cancer prognosis☆21Updated 4 years ago
- This project consists of three parts: Random forest model for GC diagnosis and Predict the survival outcomes of GC patient using RSF meth…☆30Updated 11 months ago
- ☆17Updated last year
- This is the repository for paper titled as "Convolutional neural network models for cancer type prediction based on gene expression".☆54Updated 6 years ago
- ☆34Updated 4 years ago
- ☆55Updated 2 years ago
- ☆14Updated 2 years ago
- Deep-Learning framework for multi-omic and survival data integration☆84Updated last year
- OncoNetExplainer: Explainable Prediction of Cancer Types Based on Gene Expression Data☆11Updated 2 years ago
- Clinical data for the TCGA PanCancer Atlas☆16Updated 6 years ago
- Using traditional machine learning and deep learning methods to predict stuff from TCGA pathology slides.☆18Updated 7 years ago
- SALMON: Survival Analysis Learning with Multi-Omics Neural Networks☆68Updated 11 months ago
- Self-supervised representation learning combining GTEx histology, RNA-seq and WGS☆31Updated 6 months ago
- jupyter notebook; perform differential gene expression analysis using DESeq2 on TCGA RNAseq data☆33Updated 6 years ago
- A pan-cancer platform for mutation prediction from routine histology☆69Updated 4 years ago
- ☆13Updated last year
- SEQUOIA: Digital profiling of cancer transcriptomes with grouped vision attention☆43Updated 4 months ago
- deep learning pipeline repository for the paper "Geospatial immune variability illuminates differential evolution of lung adenocarcinoma…☆52Updated 5 years ago
- ☆47Updated 8 years ago
- Pathway-based sparse deep neural network for survival analysis☆38Updated 2 years ago
- ☆13Updated 2 years ago
- Scripts for data processing☆48Updated last year
- Classifying tumor types based on Whole Genome Sequencing (WGS) data☆48Updated last year
- Implementation of DeepSurv using Keras☆52Updated 2 years ago
- ☆31Updated 4 years ago
- Containerized cancer subtype prediction tools for gene expression, miRNA, DNA methylation, somatic mutations and copy number variation.☆27Updated 6 months ago
- ☆34Updated 3 years ago
- Convolutional neural networks for extracting a "deep stroma score" from histological images of human cancer☆18Updated 5 years ago
- ☆11Updated 6 years ago
- Pan-cancer quantitative histopathology analysis using deep learning☆12Updated 3 years ago